Skip to contents

Computes the summary score mh_p_abcl__synd__rule_tscore Adult Behavior Checklist [Parent] (Syndrome Scale - Rule breaking behavior): T-score

  • Summarized variables:

    • mh_p_abcl__rule_001

    • mh_p_abcl__rule_002

    • mh_p_abcl__rule_003

    • mh_p_abcl__rule__adhd_001

    • mh_p_abcl__rule__antsoc_001

    • mh_p_abcl__rule__antsoc_002

    • mh_p_abcl__rule__antsoc_003

    • mh_p_abcl__rule__antsoc_004

    • mh_p_abcl__rule__antsoc_005

    • mh_p_abcl__rule__antsoc_006

    • mh_p_abcl__rule__antsoc_007

    • mh_p_abcl__rule__antsoc_008

    • mh_p_abcl__rule__antsoc_009

Usage

compute_mh_p_abcl__synd__rule_tscore(
  data,
  data_norm = NULL,
  name = "mh_p_abcl__synd__rule_tscore",
  col_age = "mh_p_abcl__cg2__age_001",
  col_sex = "mh_p_abcl__cg2_sex",
  max_na = 0,
  exclude = c("777", "999"),
  combine = TRUE
)

Arguments

data

tbl. Data frame containing the columns to be summarized.

data_norm

tbl. Data frame containing the norm (T-score) values. see ss_tscore().

name

character. Name of the summary score column.

col_age

character, name of the age column. see ss_tscore().

col_sex

character, name of the sex column. see ss_tscore().

max_na

numeric, positive whole number. Number of missing items allowed. NULL means no limit.

exclude

character vector. Values to be excluded from the summary score.

combine

logical. If TRUE (default), the summary score is is appended as a new column to the input data frame. If FALSE, the summary score is returned as a separate one-column data frame.

Value

tbl. see combine.

Examples

if (FALSE) { # \dontrun{
compute_mh_p_abcl__synd__rule_tscore(data) |>
  select(
    any_of(c("mh_p_abcl__synd__rule_tscore", vars_mh_p_abcl__synd__rule))
  )
} # }